Table 4.
Logistic regression model predicting satisfaction using the ISBAR.
| Variables | BETA | SE | Wald Chi-Square | P-value | OR | CI | |
|---|---|---|---|---|---|---|---|
| Nurse | 0.8779 | 0.4572 | 3.6876 | 0.0548 | 2.406 | 0.982 | 5.894 |
| Lack information | −2.0613 | 0.7000 | 8.6713 | 0.0032 | 0.127 | 0.032 | 0.502 |
| Improve information flow | −1.6867 | 0.6154 | 7.5125 | 0.0061 | 0.185 | 0.055 | 0.618 |
| Uniform format | 1.0424 | 0.4744 | 4.8275 | 0.028 | 2.836 | 1.119 | 7.187 |
| Period (after vs. before) | 0.049 | 0.57 | 1.54 | 0.46 | 1.05 | 0.34 | 3.21 |
| Period (during vs. before) | 0.68 | 0.57 | 154 | 0.46 | 1.92 | 0.62 | 6.17 |
| Frequency of communication errors | −0.22 | 0.56 | 0.15 | 0.69 | 0.80 | 0.26 | 2.44 |